https://github.com/airglow/gimme_signals_action_recognition
공식 코드Gimme Signals: Discriminative signal encoding for multimodal activity recognition
Papers with Code 아카이브
Action Detection
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Action Detection aims to find both where and when an action occurs within a video clip and classify what the action is taking place. Typically results are given in the form of action tublets, which are action bounding boxes linked across time in the video. This is related to temporal localization, which seeks to identify the start and end frame of an action, and action recognition, which seeks only to classify which action is taking place and typically assumes a trimmed video.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/aispeech-lab/wase
공식 코드WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments
https://github.com/akash2907/semi-sup-active-learning
공식 코드https://github.com/akash2907/stable_mean_teacher
공식 코드Stable Mean Teacher for Semi-supervised Video Action Detection
https://github.com/alibaba-damo-academy/FunASR
공식 코드https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr
공식 코드Speaker Embedding-aware Neural Diarization for Flexible Number of Speakers with Textual Information
https://github.com/allanmsouza/acsp-fl
공식 코드Adaptive Client Selection with Personalization for Communication Efficient Federated Learning
https://github.com/alumae/torch-xvectors-wav
공식 코드https://github.com/alvin-zeng/temporal-robustness-benchmark
공식 코드Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
https://github.com/amazon-research/long-short-term-transformer
공식 코드https://github.com/amazon-research/stochastic-backpropagation
공식 코드Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
https://github.com/amazon-science/self-supervised-maclr
공식 코드MaCLR: Motion-aware Contrastive Learning of Representations for Videos
https://github.com/anakin2555/decomposewhar
공식 코드https://github.com/andreYoo/PeGCNs
공식 코드Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition
https://github.com/anirudhsom/PI-Net
공식 코드PI-Net: A Deep Learning Approach to Extract Topological Persistence Images
https://github.com/anish-lakkapragada/ActivRecognition-Autism-Diagnosis
공식 코드Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning Study
https://github.com/anjanaw/MEx
공식 코드MEx: Multi-modal Exercises Dataset for Human Activity Recognition
https://github.com/anonymoussentience2020/Parallelized_LSM_for_Unintentional_Action_Recognition
공식 코드PLSM: A Parallelized Liquid State Machine for Unintentional Action Detection
https://github.com/anshulbshah/PoseAction
공식 코드https://github.com/anshulbshah/halp
공식 코드HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions
https://github.com/arnabkmondal/RespVAD
공식 코드RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns
https://github.com/arturjordao/WearableSensorData
공식 코드Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art
https://github.com/asheshjain399/RNNexp
공식 코드https://github.com/avc2-uestc/wifitad
공식 코드WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network
https://github.com/azazel7/paper-benchmark
공식 코드A benchmark of data stream classification for human activity recognition on connected objects
https://github.com/azzh1/purls
공식 코드Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
https://github.com/bbc/bbc-speech-segmenter
공식 코드X-Vector based voice activity detection for multi-genre broadcast speech-to-text
https://github.com/bhi-research/ava_mdetr
공식 코드Exploring Modulated Detection Transformer as a Tool for Action Recognition in Videos
https://github.com/biboamy/avaspeech_music_labels
공식 코드https://github.com/big-data-lab-team/benchmark-har-data-stream
공식 코드Reducing numerical precision preserves classification accuracy in Mondrian Forests
https://github.com/big-data-lab-team/paper-generalizability-window-size
공식 코드https://github.com/bigtreeyanger/presence_detection_cnn
공식 코드Harvesting Ambient RF for Presence Detection Through Deep Learning
https://github.com/blue-yonder/tsfresh
공식 코드Feature engineering workflow for activity recognition from synchronized inertial measurement units
https://github.com/bmartacho/UniPose
공식 코드UniPose: Unified Human Pose Estimation in Single Images and Videos
https://github.com/boneddeng/tadml
공식 코드https://github.com/bootphon/learnable-strf
공식 코드Learning spectro-temporal representations of complex sounds with parameterized neural networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.